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Cited by 406

The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.

Advanced internet of things for personalised healthcare systems: A survey

Open access
Qi, Jun, Yang, Po, Min, Geyong, Amft, Oliver, Dong, Feng, Xu, Lida·2017·Pervasive and Mobile Computing
DOI 10.1016/j.pmcj.2017.06.018
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Show all 132 references

Research works printed but not linked: 20

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  2. Goratti, 2016, NACRP: A connectivity protocol for star topology wireless sensor networks, IEEE Wirel. Commun. Lett., 5, 120, 10.1109/LWC.2015.2506163 · doi:10.1109/lwc.2015.2506163
  3. Imadali, 2013, eHealth service support in future IPv6 vehicular networks, Future Internet, 5, 317, 10.3390/fi5030317 · doi:10.3390/fi5030317
  4. M.S. Shahamabadi, B.B.M. Ali, P. Varahram, A.J. Jara, A network mobility solution based on 6LoWPAN hospital wireless sensor network (NEMO-HWSN), in: Proceedings - 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2013, 2013, pp. 433–438. · doi:10.1109/imis.2013.157
  5. Zhao, 2016, An energy-efficient region-based rpl routing protocol for low-power and lossy networks, IEEE Internet Things J., 4662 (c), 1319, 10.1109/JIOT.2016.2593438 · doi:10.1109/jiot.2016.2593438
  6. C. Sugimoto, R. Kohno, Wireless Sensing System for Healthcare Monitoring Thermal Physiological State and Recognizing Behavior, 2011, pp. 285–291. · doi:10.1109/bwcca.2011.44
  7. R.S. Sangwan, R.G. Qiu, S.K. Member, D. Jessen, Using RFID Tags for Tracking Patients , Charts and Medical Equipment within an Integrated Health Delivery Network, pp. 70–74.
  8. J. Rafferty, C. N.-I. Member, L. C.-I. Member, J. Qi, R. Dutton, A. Zirk, L.T. Boye, M. Kohn, R. Hellman, NFC based provisioning of instructional videos to assist with instrumental activities of daily living, 2014, pp. 4131–4134. · doi:10.1109/embc.2014.6944533
  9. F. Reading, E-Health Support Services Based on Service-Oriented Architecture, no. April, 2006, pp. 35–41. · doi:10.1109/mitp.2006.32
  10. Rodríguez, 2012, Assessing the SALSA architecture for developing agent-based ambient computing applications, Sci. Comput. Program., 77, 46, 10.1016/j.scico.2010.12.003 · doi:10.1016/j.scico.2010.12.003
  11. Nii, 2013, Human activity monitoring using fuzzified neural networks, Procedia Comput. Sci., 22, 960, 10.1016/j.procs.2013.09.180 · doi:10.1016/j.procs.2013.09.180
  12. A. Palaniappan, R. Bhargavi, V. Vaidehi, Abnormal human activity recognition using SVM based approach, in: 2012 Int. Conf. Recent Trends Inf. Technol., 2012, pp. 97–102. · doi:10.1109/icrtit.2012.6206829
  13. M. Brown, T. Deitch, L.O. Conor, Activity Classification with Smartphone Data, 2013, pp. 1–5.
  14. Klein, 2007, Ontology-centred design of an ambient middleware for assisted living: The case of SOPRANO, Context, 10, 2007
  15. Abidi, 2007, Ontology-based modeling of clinical practice guidelines: a clinical decision support system for breast cancer follow-up interventions at primary care settings, Stud. Health Technol. Inform., 129, 845
  16. M. Boronowsky, O. Herzog, P. Knackfuß, M. Lawo, wearIT @ work - Towards Real Life Industrial Applications of Wearable Computing investigate ‘Wearable Computing’ as a technology dealing with computer systems State-of-the-art, pp. 1441–1447.
  17. H. Storf, M. Becker, M. Riedl, Rule-based activity recognition framework: Challenges, technique and learning, in: Pervasive Comput. Technol. Heal. 2009. PervasiveHealth 2009. 3rd Int. Conf., 2009, pp. 1–7.
  18. Y. Huang, H. Zheng, C. Nugent, P. Mccullagh, N. Black, M. Hawley, G. Mountain, Knowledge Discovery from Lifestyle Profiles to Support Self-Management of Chronic Heart Failure, 2011, pp. 397–400.
  19. B.P. Jarochowski, S. Shin, D. Ryu, H. Kim, Ubiquitous rehabilitation center: An implementation of a wireless sensor network based rehabilitation management system, 2007 International Conference on Convergence Information Technology, ICCIT 2007, 2007, pp. 2349–2358. · doi:10.1109/iccit.2007.139
  20. A.J. Jara, M.A. Zamora, A.F. Skarmeta, Knowledge acquisition and management architecture for mobile and personal health environments based on the internet of things, in: 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications, 2012, pp. 1811–1818. · doi:10.1109/trustcom.2012.194

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Metadata

Authors
Qi, J., Yang, P., Min, G., Amft, O., Dong, F., & Xu, L.
Venue
Pervasive and Mobile Computing
Publisher
Elsevier BV
Published
2017-10
Volume
41
Pages
132-149
ISSN
1574-1192 (ISSN-L)
DOI
10.1016/j.pmcj.2017.06.018
OpenAlex
W2736380543
Cited by
406
References
132
FWCI
75.90
Type
journal article
Language
en
Open access
green
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: Advanced internet of things for personalised healthcare systems: A survey. https://app.cochat.ai/papers/10.1016/j.pmcj.2017.06.018
The paper
Qi, J., Yang, P., Min, G., Amft, O., Dong, F., & Xu, L. (2017). Advanced internet of things for personalised healthcare systems: A survey. Pervasive and Mobile Computing. https://doi.org/10.1016/j.pmcj.2017.06.018

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.